Understanding emergent web regularities with information foraging agents

Jiming LIU*, Shiwu Zhang, Yiming Ye

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

4 Citations (Scopus)

Abstract

In Web Intelligence (WI) applications, it is a common practice to record Web log data. What remains a big obstacle as well as a great challenge in log analysis today is how to characterize the underlying user behavior from the obtained data. In this paper, we will focus on how to interpret strong regularities in Web surfing in terms of user decision-making patterns, and present an information foraging agent-based approach to characterizing user behavior.

Original languageEnglish
Title of host publicationAAMAS 2002: Proceedings of the First International Joint Conference on Autonomous Agents and Multiagent Systems: Part 1
PublisherAssociation for Computing Machinery (ACM)
Pages457-458
Number of pages2
ISBN (Print)9781581134803
DOIs
Publication statusPublished - 15 Jul 2002
EventThe 1st International Joint Conference on: Autonomous Agents and Multiagent Systems, AAMAS 2002 - Bologna, Italy
Duration: 15 Jul 200219 Jul 2002
https://dl.acm.org/doi/proceedings/10.1145/544741

Conference

ConferenceThe 1st International Joint Conference on: Autonomous Agents and Multiagent Systems, AAMAS 2002
Country/TerritoryItaly
CityBologna
Period15/07/0219/07/02
Internet address

Scopus Subject Areas

  • General Engineering

User-Defined Keywords

  • Agent-Based Simulation
  • Information Foraging Agents
  • Self-Organized Criticality
  • Web Regularity Characterization

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